abstract = "Automatic Programming has long been a sub-goal of
Artificial Intelligence (AI). It is feasible in limited
domains. Genetic Improvement (GI) has expanded these
dramatically to more than 100000 lines of code by
building on human written applications. Further scaling
may need key advances in both Search Based Software
Engineering (SBSE) and Evolutionary Computation (EC)
research, particularly on representations, genetic
operations, fitness landscapes, fitness surrogates,
multi objective search and co-evolution.",